Explaining the Gap between Farmers' Risk Perception, Intention, and Adoption Behavior of Risk Management Strategies

Farming is a profession defined by uncertainty. A farmer must constantly navigate a landscape of unpredictable threats: pests that devour crops, droughts that wither fields, sudden shifts in market prices, and the complex machinery of government policies that can change overnight. To survive, farmers rely on risk management strategies. These are the tools and plans they use to protect their livelihoods, ranging from planting a variety of crops to buying insurance or securing loans. For decades, experts have assumed that if a farmer understands a threat and believes a solution works, they will simply adopt that solution. The logic seemed straightforward: see the danger, intend to fix it, and act.

However, human behavior is rarely that linear. In the field of agricultural science, researchers have long studied the psychological drivers behind why farmers choose to adopt new methods. They look at attitudes, social pressure from neighbors, and a farmer's confidence in their own abilities. Yet, a persistent mystery remains: why do farmers often express a strong desire to protect their farms, yet fail to take the most effective actions? This gap between knowing what to do and actually doing it suggests that something beyond the farmer's mind is holding them back.

A team of researchers from the Agricultural Sciences and Natural Resources University of Khuzestan set out to investigate this disconnect in Bavi County, a region in southwestern Iran. They focused on a specific question: if farmers are fully aware of the dangers and intend to manage them, why do they not adopt the fundamental strategies that could secure their future? To find the answer, they interviewed 350 local farmers, asking them not just about their feelings and intentions, but also about the specific risks they faced and the actual steps they had taken on their farms.

The researchers used a framework that expanded on a well-known psychological model called the Theory of Planned Behavior. This model suggests that a person's actions are driven by their attitude toward a behavior, the social pressure they feel from others, and their belief in their own ability to succeed. The researchers added two critical layers to this model: a measure of how much the farmers actually perceived the risks, and a sense of "self-identity," or whether the farmers saw themselves as the kind of person who manages risk. They wanted to see if these psychological factors could explain the farmers' behavior, or if something else was at play.

The results painted a picture of a community that was mentally prepared but practically stuck. The farmers in Bavi County were acutely aware of the dangers facing them. They scored very high on their perception of financial risks, particularly regarding delays in government payments and the high cost of equipment. They also felt a strong sense of institutional risk, believing that government organizations were not addressing their problems effectively. When asked about their intentions, the farmers were overwhelmingly positive. They expressed a strong desire to adopt risk management strategies, believing these actions were logical, profitable, and environmentally beneficial. They felt supported by their families, neighbors, and agricultural experts, and they viewed themselves as responsible stewards of their land.

According to the psychological model, this combination of high risk perception and strong intention should have led to widespread adoption of advanced risk management tools. The data confirmed that the farmers' intentions were indeed strong. However, when the researchers looked at what the farmers were actually doing on the ground, a stark contradiction emerged. While nearly all the farmers used chemical inputs to boost yields and many relied on guaranteed pricing for their crops, the adoption of more fundamental, long-term strategies was almost non-existent. Only 0.6 percent of the farmers had obtained loans to manage their finances, a mere 1.1 percent had established modern irrigation systems, and only 14.6 percent had entered into contract farming agreements.

The study revealed that the psychological model, while accurate in predicting what farmers wanted to do, could only explain about 23.5 percent of the variation in what they actually did. This low number was the key finding. It indicated that the gap between intention and action was not caused by a lack of knowledge, a lack of motivation, or a lack of belief in the solutions. Instead, the barrier was external and structural. The farmers were trapped by a "functional gap." They perceived the financial and institutional threats clearly, and they wanted to solve them, but they lacked the capital, the access to credit, and the reliable government support necessary to execute those solutions.

The researchers concluded that the high cost of farm equipment, the difficulty in securing loans, and the slow pace of government payments acted as insurmountable barriers. These were not problems of the mind, but problems of the economy and infrastructure. A farmer might know that a modern irrigation system is the best way to handle drought, and they might intend to build one, but if they cannot get a loan or if the government is not paying them for their current harvest, that intention cannot become reality. The study explicitly ruled out the idea that changing farmers' attitudes or increasing their awareness would be enough to solve the problem. The mental readiness was already there; the missing piece was the financial and institutional capital required to act on it.

This finding challenges the common approach of relying solely on education and extension services to change farming behavior. The researchers argued that to bridge the gap between risk perception and actual behavior, policy makers must address the structural hurdles. This means accelerating government payments, simplifying the process for farmers to access credit, and providing targeted subsidies for technical infrastructure. Without these external supports, the farmers' strong intentions and clear understanding of the risks will remain unfulfilled. The study serves as a reminder that in agriculture, as in many complex systems, the will to act is often present, but the ability to act depends on the environment in which that will must operate.